For the task of WSOD where we have more than one target class, our COL algorithm
is first used to label instances of each class. Once the support set is labeled, an off-the-shelf
few-shot object detection model can be used for learning novel classes. Inspired by the success of
the recent few-shot object detection method in [1]}, we employ a single layer cosine similarity
classifier for learning.
